Skillshare has always been a creative platform first, and its AI offering follows that DNA exactly, which is both its charm and its limitation. The classes are short, warm, and made by independent creators who are genuinely excited about what they are showing you, so the experience of poking around topics like ChatGPT for writing, Midjourney for art, or AI in a content workflow is pleasant and low pressure in a way that more academic platforms rarely manage. The project-based culture is a real strength, because Skillshare nudges you to actually produce something rather than just nod along, and for a creative person who wants to fold AI tools into how they already work that hands-on, make-it-now energy is exactly right. The cheap all-access subscription makes the whole thing feel low stakes, and you can sample a dozen classes for the price of one course elsewhere.
The flip side is that there is no quality control to speak of. Anyone can publish a class, so a genuinely insightful teacher sits right next to someone who recorded a thin overview between other jobs, and you will waste time finding the good ones. There is also essentially no technical depth here, nothing that resembles building, training, or understanding how a model works, so the moment your curiosity turns serious you have outgrown the platform. And because AI tools change so fast, a fair number of classes quietly drift out of date, demonstrating interfaces and features that no longer exist.
My honest read is that Skillshare is a great sandbox and a bad classroom. If you are a creative or a curious beginner who wants to play with AI tools cheaply and make a few things in the process, it is genuinely enjoyable and worth the subscription. Just do not mistake finishing a slick forty-minute class for actually learning the subject, because those are not the same thing and Skillshare blurs the line more than most.